# W. Philip Kegelmeyer

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/w-philip-kegelmeyer/

## Facts

| Field | Value |
| --- | --- |
| Citations | 34,984 |
| Field | Machine Learning and Data Classification |
| h-index | 21 |
| i10-index | 35 |
| Last Known Institution | Sandia National Laboratories California |
| OpenAlex ID | https://openalex.org/A5047122075 |
| Works | 77 |

## Researcher topics

- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

## Researcher university

- [Sandia National Laboratories California](https://scholariq.org/institutions/sandia-national-laboratories-california/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.